Plotly.NET.Interactive 2.0.0

Plotly.NET finally has reached all milestones for 2.0 and is ready for a stable release. This release is the culmination of almost **2 years of work in >500 commits by 17 contributors**. Here is an attempt to visualize the history of these changes in a few seconds:  (made with [gource](https://github.com/acaudwell/Gource)) All APIs have changed significantly - this release is incompatible with 1.x and many 2.x-preview/beta versions. TL;DR** - All plotly chart/trace types! - Unified API! - chart rendering in notebooks! - programmatic static image export! - Exhaustive docs! - We have a [discord server](https://discord.gg/k3kUtFY8DB), feel free to ask questions there! Core library** General** - The API layer model has refined and used for every type of plotly object abstraction. In brief, - There are 5 main categories of abstractions: `Trace` (chart data and type), `Layout`(non-data chart styling), `Config`(render options), `DisplayOptions`(html display options), `StyleParam`(DSL for styling options) - Many properties used in these levels are themselves objects, which are in the respective `*Objects` namespace (e.g. `Geo`, which determines map layout of geo traces is an object on the `Layout` and therefore in the `LaoutObjects` namespace.) - every object is based on `DynamicObj` and its properties can therefore be further customised by dynamic member assignment. Therefore, every plotly property can be set manually, even those which do not have direct abstractions. - There are now several `Trace` types for each kind of subplot (`Trace2D`, `Trace3D`, etc.) and eqivalent `Chart` types (`Chart2D`, `Chart3D`, etc). while not visible from the top level api (everything kan be accessed via the unified `Chart` API), this greatly improves correct multi chart layouting. - There are 3 ways of creating charts with increasing level of customization: 1. The `Chart` API as a unified API surface for chart creation and styling - `Chart.<ChartType>` (e.g. `Chart.Point`) for chart creation from data and some chart specific styling options - `Chart.with<Style or object>` (e.g. `Chart.withXAxisStyle`) for styling of chart objects 2. Creation of Chart objects by manually creating `Trace`, `Layout` and `Config` objects with many more optional customization parameters 3. Exclusive usage of `DynamicObj` - you can translate **any** plotly.js javascript with this method. Chart/Trace abstractions** You can create the following Charts with Plotly.NET's API (and many more by combining them): - Cartesian 2D (`Chart2D`): - `Scatter` (Point, Line, Spline, Bubble, Range, Area, SplineArea, StackedArea) - `Funnel` - `Waterfall` - `Bar` (Bar, Column, StackedBar, StackedColumn) - `Histogram` - `Histogram2D` - `Histogram2DContour` - `PointDensity` - `BoxPlot` - `Violin` - `Heatmap` (Heatmap, AnnotatedHeatmap) - `Image` - `Contour` - `OHLC` (OHLC, CandleSticks) - `Splom` - Cartesian 3D (`Chart3D`): - `Scatter3D` (Point3D, Line3D, Bubble3D) - `Surface` - `Mesh3D` - `Cone` - `StreamTube` - `Volume` - `IsoSurface` - Polar (`ChartPolar`): - `ScatterPolar` (PointPolar, LinePolar, SplinePolar, BubblePolar) - `BarPolar` - Maps (`ChartMap`): - `ChoroplethMap` - `ChoroplethMapbox` - `ScatterGeo` (PointGeo, LineGeo, BubbleGeo) - `ScatterMapbox` (PointMapbox, LineMapbox, BubbleMapbox) - `DensityMapbox` - Ternary (`ChartTernary`): - `ScatterTernary` (PointTernary, LineTernary, SplineTernary, BubbleTernary) - Carpet (`ChartCarpet`): - `Carpet` - `ScatterCarpet` (PointCarpet, LineCarpet, SplineCarpet, BubbleCarpet) - `ContourCarpet` - Domain (`ChartDomain`) - `Pie` (Pie, Doughnut) - `FunnelArea` - `Sunburst` - `Treemap` - `ParallelCoord` - `ParallelCategories` - `Sankey` - `Table` - `Indicator` - `Icicle` - Smith (`ChartSmith)` - `ScatterSmith` (PointSmith, LineSmith, BubbleSmith) Plotly.NET.Interactive** You can directly render charts as html cell output with the dotnet interactive kernel:  Plotly.NET.ImageExport** This library provides an interface for image rendering engines to consume plots and create static image files (PNG, JPG, SVG), as well as a reference implementation using [PuppeteerSharp](https://github.com/hardkoded/puppeteer-sharp) to render charts with headless chromium.